What should be considered for efficient data schemas in Marketo? (Choose two)

• A. Limiting data imports
• B. Avoiding relational data structures
• C. Field mapping consistency
• D. Using standardized field names

A consultant conducts an audit on a company's Adobe Marketo Engage instance and discovers:
The instance hits its API limit twice a month, affecting leads from multiple third-party integrations from being consistently created or updated automatically.
The field "Country" is set as a text field, which results in inconsistent variations and mis-spellings of the country value, leading to the inability to route leads to the proper regional sales team.
There is a Segmentation called "Region", which is defined by the "Country" field values; due to the inconsistency of the field, a majority of the person records sit in the "Default" segment.
Lead routing is based on the "Region" segment, and there is no logic set in the routing to account for the "Default" leads.
After sharing these findings with a group of stakeholders, the stakeholders share:
The Data Science team uses the Marketo Engage API to pull data out of the instance twice a month for an executive dashboard that tracks quarterly goals.
The Sales team is extremely below target for qualified leads because the volume routed to them is so low.
The Web team has reported on below-average form conversions because too many fields are open text.
The Marketing team wants to send nurture emails that are localized based on the "Region" Segmentation.
A consultant conducts an audit on a company's Adobe Marketo Engage instance and discovers:

• A. Advise the company to increase its API limits to solve the API issue.
• B. Change the "Country" field from a text field to a string field to standardize the values.
• C. Advise the Data Science team to minimize their API query to reduce the consumption of the API limit.
• D. Create a daily re-occurring batch that standardizes "Country" into clean values.

What is the most critical aspect of designing an efficient data schema in Marketo?

• A. Avoiding relational data structures
• B. Limiting data fields to mandatory inputs
• C. Using only static lists for segmentation
• D. Ensuring field mappings align with external systems

An enterprise marketing organization has set up an out-of-the-box Revenue Cycle Modeler.

However, after some time, the sales team has provided feedback that the following modifications need to be made:
SQL leads need to be reviewed with an SLA of 5 days by the Sales Support team SQL leads that are disqualified should be removed from the SLA stage SQL leads that are sales ready need to progress to the Sales Accepted Leads stage (SAL) What are the three changes that needs to be implemented? (Choose three.)

• A. Add a detour stage, "Disqualified", from "SQL"
• B. Add a "Disqualified" transition from "SQL" to "MQL"
• C. Check that the "SQL" stage from inventory type to SLA has a Max Age of 5 days
• D. Add an inventory stage, SAL, between "SQL" and "Opportunity"
• E. Add an SLA stage, SAL, between "SQL" and "Opportunity"

What are key aspects of validating lifecycle reports? (Choose two)

• A. Monitoring engagement stream cadence
• B. Ensuring accurate stage transitions
• C. Reviewing Smart Campaign performance
• D. Adjusting Program Costs